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87 papers and 3 presentations; 81 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
MWSUG 2025 Large-Scale Time Series Forecasting in Model Studio Danny R. Modlin source 39
SESUG 2025 Large-Scale Time Series Forecasting in Model Studio Danny R. Modlin 39
WUSS 2025 Large-Scale Time Series Forecasting in Model Studio Danny R. Modlin source 39
PharmaSUG 2025 Low-Code Solutioning in SAS Viya for Automated Clinical Data Quality, Decisioning and Harmonization Mary Dolegowski,
Scott McClain		 source 10
SESUG 2024 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
SGF 2020 Open-Source Model Management with SAS Model Manager Glenn Clingroth source 16
SGF 2020 Semi-automatic Feature Engineering from Transactional Data James A. Cox,
Biruk Gebremariam,
Tao Wang		 source 17
SGF 2020 Turning the Crank. A Simulation of Optimizing Model Retraining David R. Duling source 17
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
SGF 2020 Winning Tactics for SAS Visual Data Mining and Machine Learning: Why it's the Only Skill You Need Chris St. Jeor source 12
SGF 2019 Enabling SAS Software to Communicate RESTfully with Cloud Services Tom Caswell,
Fred Burke		 source 14
SGF 2019 Hearing Every Voice: SAS Text Analytics for Federal Regulations Public Commentary Emily McRae,
Tom Sabo,
Manuel Figallo-Monge		 source 12
SGF 2019 Playing Favorites: Our Top 10 Model Studio Features in SAS Visual Data Mining and Machine Learning Wendy Czika,
Peter Gerakios		 source 16
SGF 2019 SAS Enterprise Miner and SAS Visual Data Mining and Machine Learning Hand Shake Jagruti Kanjia,
Dominique Latour,
Holly Sweeney		 source 35
SGF 2019 SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software Phil Gibbs,
Randy Tobias		 source 18
SGF 2019 Sparking Your Data Innovation: SAS Integration with Apache Spark Kumar Thangamuthu source 15
SGF 2019 The Aftermath What Happens after you Deploy Your Models and Decisions David R. Duling source 18
SGF 2019 To Buy or to Create? Determining the Best Option for Student Success Models Stephanie R. Thompson source 6
SGF 2019 What is CASL? Steven Sober source 16
SESUG 2018 Developing In-House Student Success Models Stephanie R. Thompson source 6
MWSUG 2018 How to Score Big with SAS Solutions: Various Ways to Score New Data with Trained Models Scott Koval 6
SGF 2018 Accelerate your End-to-End Enterprise Decisions with SAS Viya David R. Duling,
Steve Sparano		 source 12
SGF 2018 Analyzing Text In-Stream and at the Edge Simran Bagga source 12
SGF 2018 Integrating SAS Analytics into Your Web Page James Kochuba,
David Hare		 source 11
SGF 2018 Interpreting Black-Box Machine Learning Models Using Partial Dependence and Individual Conditional Expectation Plots Ray Wright source 19
SGF 2018 Model Life Cycle Automation Using REST APIs Wenjie Bao source 17
SGF 2018 Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning Susan Haller,
Brett Wujek		 source 29
SGF 2018 Top 10 Tips for SAS Enterprise Miner Based on 20 Years' Experience Melodie Rush source 21
SCSUG 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
WUSS 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Radhikha Myneni source 23
SGF 2017 An Efficient Way to Deploy and Run Text Analytics Models in Hadoop Seung Lee,
Xu Yang,
Saratendu Sethi		 source 11
SGF 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Jonathan Wexler,
Susan Haller		 source 23
SGF 2017 Bringing Real-Time Scoring to Your SAS Visual Analytics Dashboards with SAS Visual Statistics Score Code Eli Kovick source 12
SGF 2017 Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard		 source 15
SGF 2017 Help! My New Director of Analytics Wants to Get Rid of SAS! What Can I Do? Melodie Rush source 17
SGF 2017 Identifying Abnormal Equipment Behavior and Filtering Data near the Edge for IoT Applications Ryan Gillespie,
Saurabh Gupta		 source 5
SGF 2017 Methods of Multinomial Classification Using Support Vector Machines Ralph Abbey,
Taiping He,
Tao Wang		 source 20
SGF 2017 Open Your Mind: Use Cases for SAS and Open-Source Analytics Tuba Islam source 10
SGF 2017 Power to the People! Web Service Scoring for the Masses Prasenjit Sen,
Chris Upton		 source 13
SGF 2017 Understanding SAS Embedded Process with Hadoop Security David Ghazaleh source 16
SGF 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
SGF 2017 Using Python with SAS Cloud Analytic Services Kevin D. Smith,
Xiangxiang Meng		 source 23
SGF 2017 Using Segmentation to Build More Powerful Models with SAS Visual Analytics Darius S. Baer,
Sam Edgemon		 source 18
SGF 2016 Exploring SAS Embedded Process Technologies on Hadoop David Ghazaleh source 17
SGF 2016 Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager Jonathan Wexler,
Steve Sparano		 source 19
SGF 2016 Pedal-to-the-Metal Analytics with SAS Studio, SAS Visual Analytics, and SAS Visual Statistics Manuel Figallo-Monge source 20
SGF 2016 Running Text Analytics Models in Hadoop David Bultman,
Adam Pilz		 source
zip		 13
SGF 2016 SAS Visual Statistics 8.1: The New Self-Service, Easy Analytics Experience Xiangxiang Meng,
Donald R. Chapman,
Cheryl LeSaint		 source 11
SGF 2016 Streaming Decisions: How SAS Puts Streaming Data to Work Fiona McNeill,
David R. Duling,
Steve Sparano		 source
zip		 15
SESUG 2015 Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction Xiangiang Meng,
Wayne Thompson,
Jennifer Ames		 source 12
SGF 2015 Predictive Modeling Using SAS Visual Statistics: Beyond the Prediction Xiangxiang Meng,
Jennifer Ames,
Wayne Thompson		 source 12
SGF 2015 SAS and SAP Business Warehouse on SAP HANA--What's in the Handshake? Tatyana Petrova source 17
SGF 2015 SAS Model Manager: An Easy Method for Deploying SAS Analytical Models into Relational Databases and Hadoop Jifa Wei,
Kristen Aponte		 source 12
SGF 2015 Time to Harvest: Operationalizing SAS Analytics on the SAP HANA Platform Morgen Christoph source 11
SGF 2015 Unstructured Data Mining to Improve Customer Experience in Interactive Voice Response Systems Dmitriy Khots source 11
SGF 2015 Using SAS to Deliver Web Content Personalization Using Cloud-Based Clickstream Data and On-premises Customer Data Mahesh Subramanian,
Suneel Grover		 source 24
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24
SGF 2014 SAS Predictive Asset Maintenance: Find Out Why Before It's Too Late! George S. Habek source 19
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16
SGF 2013 A Data-Driven Analytic Strategy for Increasing Yield and Retention at Western Kentucky University Using SAS Enterprise BI and SAS Enterprise Miner Matt T. Bogard source 12
SGF 2013 Time Is Precious, So Are Your Models: SAS Provides Solutions to Streamline Deployment Jonathan Wexler,
Wayne Thompson		 source 17
SGF 2012 Developing a Predictive Model for Customer Trip Purpose to Be Integrated into Enterprise Strategy and Analytics Jonathan Levine source 16
SGF 2012 Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner Sascha Schubert,
Susan Haller,
Taiyeong Lee		 source 15
SGF 2012 Using SAS Enterprise BI and SAS Enterprise Miner to Reduce Student Attrition Matt T. Bogard,
Chris James,
Tuesdi Helbig,
Gina Huff		 source 10
SGF 2011 Comparison of Probabilistic-D and k-Means Clustering in Segment Profiles for B2B Markets Dipanjan K. Dey,
Satish Garla,
Goutam Chakraborty		 source 9
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
SGF 2011 The Anti-Curse: Creating an Extension to SAS Enterprise Miner Using PROC ARBORETUM Andrew S. Cathie source 11
SGF 2010 Rapid Predictive Modeling for Customer Intelligence Wayne Thompson,
David R. Duling		 source 12
SGF 2010 The Power of the Group Processing Facility in SAS Enterprise Miner Sascha Schubert source 13
SGF 2009 The Next Generation: SAS Enterprise Miner 6.1 David R. Duling,
Wayne Thompson		 source 10
MWSUG 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Chu 10
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
SGF 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Duling,
David M. Thompson,
Wayne Chu		 source 10
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
SGF 2007 Ubiquitous Scoring of 1000+ Warranty Categories Using Predictive Rules Derived from Text Barry deVille source 8
SCSUG 2006 What's New in SAS Enterprise Miner 5.2 Wayne Thompson,
David R. Duling		 10
WUSS 2006 Text Mining Internet Discussion Groups: an Automotive Case Study John Wallace source 7
SUGI 2006 The Value of Real-Time Scoring Technology Using SAS Young Chun Kim source 6
SUGI 2006 What's New in SAS Enterprise Miner 5.2 Wayne Thompson,
David R. Duling		 source 10
SUGI 2005 Message Queue-Based Scoring Interface David R. Duling,
Robert Chu		 source 14
SUGI 2005 Predicting Workers' Compensation Insurance Fraud Using SAS Enterprise Miner 5.1 and SAS Text Miner Terry J. Woodfield source 6
SUGI 2004 Text Mining Warranty and Call Center Data: Early Warning for Product Quality Awareness John Wallace,
Tracy A. Cermack		 source 8
SEUGI 2003 New Directions in SAS Enterprise Miner for SAS 9.1 [presentation] David R. Duling,
Sascha Schubert		 source 26
VIEWS 2001 The Use of Enterprise Miner with Large Volumes of Data, for Forecasting in an Automated Batch Process [presentation] Matthew Glasson,
Justine Eastman		 17
SEUGI 2001 The Use of Enterprise Miner with Large Volumes of Data, for Forecasting in an Automated Batch Process [presentation] Justine Eastman source 12
SUGI 2001 A Practical Introduction to the Power of Enterprise Miner Michael S. Lajiness source 7
SUGI 2000 Using Enterprise Miner to Explore and Exploit Drug Discovery Data Michael S. Lajiness source 8
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown		 source 24

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